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Adf Data Science Jobs (NOW HIRING)

Info Way Solutions

Data Science

Fremont, CA · On-site

Info Way Solutions is seeking a Data Science professional to join their team. The role involves ... Azure Cloud, Databricks, Azure HD Insights, ADF or similar • Advanced working SQL knowledge and ...

Prophecy Technologies

IT Senior Data Architect

Berlin, CT · On-site

$66.75 - $89.25/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field ... Experience with Databricks, Azure Data Factory (ADF), data warehousing, and data lake technologies.

Creative Information Technology, Inc.

The ideal candidate possesses strong expertise in SQL Server, Azure SQL, Azure Data Factory (ADF ... Bachelor's or Master's degree in computer science, Computer Engineering, Software Engineering, or a ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Data Science - Structured Data / Text Data (NLP & GenAI) About the Role We are seeking a highly ... Proficiency in Azure cloud services (ADF, Azure ML, AKS, Databricks on Azure). * Strong ...

and officially incorporated

USA Computer Science Machine Learning Others About this opportunity The Applied Data Fellowship (ADF) at the University of Chicago Harris School of Public Policy is a high-impact program that embeds ...

Georgia IT, Inc.

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Required : • A Bachelor's/Master's degree in Computer Science, Data Science, or a related field. • Strong experience in Azure, ADF, Synapse Data Warehouse, Azure Functions, Python, Databricks ...

Microsoft

Senior Data and Applied Scientist

Redmond, WA · On-site

$160K - $261K/yr

... ADF, Databricks, Snowflake). * Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI. Data Science IC4 - The typical base pay range for this role across ...

Noblesoft Technologies

ADF Lead

Dallas, TX · On-site

... and integrate data from various source systems into the Azure Analytics Platform using Azure ... Computer Science, Information Technology, or a related field. OTHER REQUIREMENTS (OPTIONAL ...

Techwizens LLC

Senior Data Architect

Deerfield Beach, FL · On-site

$65 - $87/hr

... ADF Data Pipelines to ingest data from Azure (such as SQL, Cosmos, ADLS Gen 2.0) and non-Azure ... A background in computer science and database management * * Relational DB : Azure SQL , Azure ...

CYNET SYSTEMS

Azure Data Lead

New York, NY

$60 - $65/hr

ADF. * Data Lake. * Spark SQL. * SQL. * ADLS Gen2. * Apache Spark. * Delta Lake. * MS SQL. * Oracle ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

CYNET SYSTEMS

Azure Data Lead

New York, NY · On-site

$60 - $65/hr

ADF. * Data Lake. * Spark SQL. * SQL. * ADLS Gen2. * Apache Spark. * Delta Lake. * MS SQL. * Oracle ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Ascentt

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... Data Scientists, Analysts, and business stakeholders. Responsibilities : • Design, build, and ... ADF) • Knowledge of Git, CI/CD pipelines, and DevOps best practices • Exposure to Delta Lake ...

Vytwo Technologies Inc.

Data Scientist - INDIA

... science solutions. Responsibilities : • Build, deploy, and optimize ML models for predictive ... services (ADF, Azure ML, AKS, Databricks on Azure) • Strong understanding of ML algorithms ...

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How much do adf data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for adf data science in the United States is $117,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $157,500.00 per year, depending on experience, location, and employer.

What is an ADF data scientist?

An ADF Data Scientist is a professional who specializes in using Azure Data Factory (ADF) in conjunction with data science techniques to design, build, and manage data pipelines and analytics solutions. They leverage ADF for orchestrating data movement and transformation, and often integrate machine learning models to extract insights from large datasets. These data scientists typically work with cloud-based data sources, automate workflows, and ensure data quality for analytics and business intelligence tasks.

What types of projects do ADF data science professionals typically work on, and how do they collaborate with other teams?

Adf Data Science professionals often work on projects involving data analysis, predictive modeling, and developing machine learning solutions to optimize business processes or inform decision-making. They frequently collaborate with data engineers to ensure data pipelines are robust, as well as with business analysts and product managers to align technical solutions with business goals. Teamwork and cross-functional communication are essential, as many projects require input from multiple stakeholders to ensure data-driven insights are actionable and relevant.

What are the key skills and qualifications needed to thrive as an ADF data scientist, and why are they important?

To thrive as an ADF Data Scientist, you need strong statistical analysis, programming (Python, R, or SQL), and machine learning expertise, usually supported by a degree in data science, computer science, or a related field. Experience with Azure Data Factory (ADF), cloud platforms, and data pipeline orchestration tools is highly valuable. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business decisions. These competencies ensure efficient data processing, accurate analytics, and meaningful contributions to organizational goals.

What are popular job titles related to Adf Data Science jobs?

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Adf Data Science jobs near you
Infographic showing various Adf Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,121 per year, or $56.3 per hour.

Data Science

Fremont, CA • On-site

Info Way Solutions
IT Services • 51 - 200 employees
Learn more about Info Way Solutionsexternal

Full-time

Re-posted 16 days ago

Key responsibilities

  • Perform statistical modeling, data extraction, data cleaning, data screening, data exploration, and data visualization of structured and unstructured datasets.

  • Implement machine learning algorithms, including natural language processing techniques, to derive insights and inferences.

  • Build and optimize data pipelines, architectures, and data sets using big data technologies and support deployment of models on cloud platforms.

Job description

Job Summary:
Info Way Solutions is seeking a Data Science professional to join their team. The role involves statistical modeling, data extraction, and the implementation of machine learning algorithms to derive insights from structured and unstructured datasets.
Responsibilities:
• Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
• Expertise in natural language processing and machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking
• Ability to implement large scale Deep Learning and Machine Learning algorithms to deliver resourceful insights and inferences
• Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
• Solid programming skills with knowledge of R, SQL, Python or other data-extraction and analysis tools
• Experience with deployment of machine learning and statistical models on a cloud and leveraging services in AWS or Azure or Google Cloud.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience with Python libraries including NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc.
• Experience with cloud services such as : Azure Cloud, Databricks, Azure HD Insights, ADF or similar
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience developing enterprise software products
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working in an AGILE environment
Qualifications:
Required:
• Experience 9+
• Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
• Expertise in natural language processing and machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking
• Ability to implement large scale Deep Learning and Machine Learning algorithms to deliver resourceful insights and inferences
• Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
• Solid programming skills with knowledge of R, SQL, Python or other data-extraction and analysis tools
• Experience with deployment of machine learning and statistical models on a cloud and leveraging services in AWS or Azure or Google Cloud.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience with Python libraries including NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc.
• Experience with cloud services such as: Azure Cloud, Databricks, Azure HD Insights, ADF or similar
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience developing enterprise software products
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working in an AGILE environment
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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